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NIPS
2007
15 years 6 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
134
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ACL
2006
15 years 6 months ago
Modeling Human Sentence Processing Data with a Statistical Parts-of-Speech Tagger
It has previously been assumed in the psycholinguistic literature that finite-state models of language are crucially limited in their explanatory power by the locality of the prob...
Jihyun Park
ACL
2006
15 years 6 months ago
A Finite-State Model of Human Sentence Processing
It has previously been assumed in the psycholinguistic literature that finite-state models of language are crucially limited in their explanatory power by the locality of the prob...
Jihyun Park, Chris Brew
CSC
2006
15 years 6 months ago
Applying Sparse Matrix Solvers to a Glacial Ice Sheet Model
- Two software packages for solving sparse systems of linear equations, SuperLU and UMFPACK, have been integrated with the University of Maine Ice Sheet Model for predicting the fo...
Rodney Jacobs, James Fastook, Aitbala Sargent
119
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ECIS
2004
15 years 6 months ago
A conceptual model of customer value in e-commerce
Customer value is crucial in predicting customer choice in traditional consumer behavior research. However, online customer value can be different from its offline counterpart bec...
Yunjie Xu, Shun Cai